About Glean:Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.
About the Role: Glean is seeking an Enterprise Account Executive to drive net-new logo acquisition and revenue growth within an assigned territory. This role requires strong experience selling complex, technical SaaS solutions to enterprise customers and the ability to navigate multi-stakeholder buying environments.
You will:Source and close net new logos within a given territoryNavigate complex organizational structures and identify executive sponsors and championsResearch and understand customer business objectives and run a value-driven sales cycleCollaborate with internal partners to move deals forward and ensure customer successConsistently deliver ARR revenue targets using a metrics-driven approachDevelop and execute sales strategies to generate pipeline, drive opportunities, and deliver predictable bookingsProvide timely and insightful feedback to cross-functional teamsCreate ROI and business justification reports using a data-driven approachRun structured POCs aligned to defined business success criteria

About you:5+ years of closing experience in Sales with a track record of top performanceAbility to learn, pitch, and demonstrate a highly technical product in a fast-growing environmentProven experience closing complex deals within complex organizationsStrong ability to uncover greenfield opportunities and build new territories using a repeatable sales methodologyExperience selling face-to-face to C-level executivesKnowledge of best-of-breed software and a technical understanding of integrations, APIs, infrastructure management, security, and analyticsExperience selling technical SaaS and cloud-based solutionsBasic understanding of search infrastructure is a plusExperience working cross-functionally with SEs, BDRs, PMs, executives, and engineers

Location:This role is remote (must be located in Singapore)

Compensation & Benefits:Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We are a diverse bunch of people and are committed to attracting and retaining a diverse workforce. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

We are seeking a Platform Engineer to join the Government Commercial Cloud (GCC) Engineering Team, responsible for building and operating Singapore Government’s cloud-native platform capabilities.This role focuses on engineering, automating, and scaling OpenShift-based container platforms that enable agencies to deliver secure, reliable, and high-performing digital services. You will work within a highly regulated environment, balancing agility, security, and platform resilience while contributing to reusable government-wide capabilities.
Key Responsibilities1. Platform Engineering & AutomationDesign, build, and manage the lifecycle of OpenShift clusters, treating infrastructure as codeDevelop automation for:Cluster provisioning and bootstrapVersion upgrades and patchingHorizontal and vertical scalingLeverage tools such as Terraform, Ansible, and Python to standardise and automate deployments
2. Container Platform Reliability & PerformanceEngineer for high availability, resilience, and performance across the OpenShift platformImplement monitoring, logging, and alerting strategies to ensure platform stabilityTroubleshoot and resolve issues across compute, networking, and storage layers
3. Platform Components & InfrastructureImplement and maintain core OpenShift components, including:Networking: OVN-Kubernetes, SDN configurationsStorage: OpenShift Data Foundation (ODF), Ceph-based storageOptimise cluster performance across workloads and environments
4. GitOps & Configuration ManagementDesign and implement GitOps workflows for cluster and application configurationMaintain version-controlled infrastructure and platform configurationsEnsure consistency, auditability, and repeatability across environments
5. Security, Governance & Best PracticesApply secure-by-design principles aligned with GCC and government standardsEnforce platform guardrails, policies, and compliance requirementsContribute to best practices, reusable patterns, and platform standards across agencies
RequirementsExperience & Skills3+ years of experience in platform engineering, DevOps, or cloud infrastructure rolesStrong hands-on expertise in:Red Hat OpenShift / Kubernetes internalsContainer orchestration, scheduling, and cluster operationsProficiency in scripting and automation:Python and/or Bash
Infrastructure & ToolingExperience with Infrastructure as Code (IaC) tools:Terraform and/or AnsibleSolid understanding of:Container networking (OVN, SDN concepts)Storage systems (Ceph, OpenShift Data Foundation)
Platform & Delivery PracticesFamiliarity with:GitOps principles and toolingCI/CD pipelines and DevOps practicesStrong troubleshooting and problem-solving skills in distributed systems
Good to HaveExperience working in regulated environments (e.g., government, banking, telecom)Exposure to multi-cluster or hybrid cloud environmentsKnowledge of security hardening and compliance standardsExperience contributing to platform engineering or internal developer platforms
What Success Looks LikeReliable, scalable OpenShift platforms supporting multiple government workloadsHigh levels of automation, reducing manual interventionStrong platform adoption through standardised, reusable patternsSecure and compliant infrastructure aligned with GCC standards

The FP&A team plays a critical role in conducting data-driven financial performance analysis, understanding past results and projecting the future of the business at the global level. Our scope of work is not limited to just performance monitoring and reporting, but also includes proactively identifying actionable insights to drive high-impact business changes. The regional FP&A team serves as a bridge between countries and group management, working closely with local teams to understand business drivers and translating them to senior management, thereby supporting high-impact decision-making.
Job Description:Gather business information from different functional teams and translate it into executive communicationEnsure adequacy and accuracy of Shopee critical reports/dashboards and finance-related reportsProactively engage with stakeholders to ensure that all data is up to date and regional teams are aligned with local teamsConduct data analysis on financial issues under tight deadlinesDesign and maintain critical reports for business needsAutomate and improve the efficiency of different FP&A processes
Requirements:Bachelor degree or higher in Business, Accounting, Information Systems, Business Analytics, Statistics or any related fieldMinimum 4 years of relevant working experienceHighly proficient in Excel, hands-on experience with large amounts of data using SQL, Python, Pyspark and the Hadoop ecosystem is a plusStrong communication skillsStrong analytical skills with work experience in data-driven analysis under pressureOrganised, demonstrated skills in prioritisation & ability to multitaskProficiency in Microsoft Excel, PowerPoint and Word

About TencentTencent is an Internet-based platform company founded in Shenzhen, China, in 1998. We use technology to enrich the lives of Internet users and assist the digital upgrade of enterprises. Our mission is "Value for Users, Tech for Good". We embrace a culture of teamwork & creativity and are driven by our values - Integrity, Proactivity, Collaboration and Creativity.
We are rapidly expanding our international operations and are looking for top talent to propel us forward. Combining the results-oriented nature of a start-up with the resources of a profitable and leading Internet company, Tencent offers a unique opportunity for aspiring individuals to thrive.
About IEG GlobalTencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China.
Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world.
About The Hiring TeamLevel Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world.We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.
What The Role EntailsAs an AI Research Engineer Intern, you will:Conduct research and development on multimodal processing algorithms and models, including but not limited to image and video understanding and generation, as well as alignment and integration of multimodal information with textual data;Design and optimize existing algorithms to improve performance and accuracy, ensuring a high-quality user experience;Conduct in-depth research on and stay up to date with cutting-edge technologies in multimodal learning, NLP, CV, and related fields, and promptly apply new technologies to products.Explore and develop reinforcement learning algorithms and frameworks, including but not limited to policy optimization, reward modeling.
Who We Look ForBachelor’s degree or above in Computer Science, Information Engineering, Pattern Recognition, Artificial Intelligence, or related fields;Proficient in fundamental algorithms and applications related to computer vision and image processing; familiar with at least one deep learning framework such as Caffe, TensorFlow, or PyTorch;Strong engineering implementation skills; proficient in at least one programming language such as C++ or Python.

About the RoleA1 is building a proactive AI system used daily across conversations, tools, and workflows.You will own how this system behaves on desktop environments. Your work focuses on reliability, performance, and real-time behavior in production desktop applications.
FocusBuild and maintain cross-platform desktop applications using Electron.Design responsive and scalable UIs for real-time collaboration.Implement desktop-specific functionality including file system access, native notifications, auto-updates, and deep linking.Integrate AI-powered features (chat, agents, AI assistance) via backend APIs.Optimize startup time, memory usage, and runtime performance.Profile and reduce Electron overhead.Manage large local state and message history efficiently.Ensure smooth real-time updates (messages, typing indicators, presence).Maintain stability across macOS and Windows environments.
Ideal ExperiencesProven software engineering experience.Hands-on experience building production Electron applications.Strong proficiency in JavaScript and TypeScript.Experience with React or similar UI frameworks.Solid understanding of the desktop application lifecycle.Experience with IPC communication.Experience working with local storage (SQLite, IndexedDB, filesystem).Experience with WebSockets or other real-time transport mechanisms.Strong debugging and performance profiling skills.Familiarity with native OS behaviors on macOS or Windows.
Tech StackElectronNode.jsTypescriptSQl & noSQL
How We WorkOur organization is very flat and our team is small, highly motivated, and focused on engineering and product excellence. All members are expected to be hands-on and to contribute directly to the company’s mission.
Interview processIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

About the RoleA1 is building a proactive AI system that users rely on daily across conversations, tools, and workflows.You will build and maintain production Android applications where AI is a core part of the user experience. This role focuses on performance, reliability, and thoughtful UX for AI-heavy interactions, not thin-client glue code.
FocusBuild and maintain production Android apps using Kotlin.Integrate AI-powered features (chat, vision, voice, recommendations) via backend APIs.Design UX patterns for AI interactions, including streaming responses, retries, and partial results.Optimize performance, memory usage, and responsiveness for AI-heavy flows.Implement analytics, logging, and feedback capture to support AI evaluation and iteration.Collaborate closely with backend and ML engineers on API contracts and system behavior.Ensure app stability, security, and scalability in production environments.
Ideal Experiences3+ years of Android development experience using Kotlin.Hands-on experience integrating AI features (e.g. LLM, vision, speech APIs).Strong understanding of asynchronous programming (Coroutines, Flow).Familiarity with REST or gRPC APIs and structured data formats.Strong debugging and performance profiling skills.Comfort building in environments with latency, partial failure, and non-deterministic behavior.Experience with MLKit or light on-device inference.Published production apps on the Google Play Store.
Tech StackKotlin / JavaSQL / noSQLTensorFlow Lite (on-device inference)
How We WorkOur organization is very flat and our team is small, highly motivated, and focused on engineering and product excellence. All members are expected to be hands-on and to contribute directly to the company’s mission.
Interview processIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

Legacy Modernisation & Enterprise Application SupportRole Overview
We are looking for an Oracle Application Support Engineer to support and evolve mission-critical enterprise systems built on Oracle Forms, Reports, and ADF.
This role sits at the intersection of production stability, structured enhancements, and legacy modernisation — ensuring systems remain reliable today while progressively improving performance, maintainability, and integration with modern platforms.
You will operate within a governed SDLC environment, taking ownership of incident resolution, change requests (CRs), and release activities, while working closely with cross-functional teams across business, QA, and infrastructure.
Key Responsibilities1. Production Support & System StabilityProvide L2/L3 application support for Oracle-based systems (Forms, Reports, ADF), ensuring high availability and reliabilityTroubleshoot production issues and perform root cause analysis (RCA) across application, database, and integration layersMonitor and stabilise batch jobs, scheduled workflows, and reporting processesEnsure adherence to incident management SLAs and operational procedures
2. Change Requests (CRs) & EnhancementsAnalyse, design, and implement CRs, bug fixes, and enhancements across Oracle applicationsPerform impact analysis on database objects, PL/SQL packages, triggers, and schema dependenciesEnsure all changes comply with coding standards, security controls, and governance requirementsContribute to continuous improvement of legacy systems through refactoring and optimisation
3. Development & Technical DeliveryEnhance and maintain applications built on:Oracle Forms & Reports (triggers, built-ins, libraries)Oracle ADF (Application Development Framework)PL/SQL (procedures, packages, functions)Optimise SQL queries and database performance for scalability and efficiencySupport integration with downstream/upstream systems and APIs
4. Testing & Release ManagementDevelop and execute functional, regression, and integration test casesSupport User Acceptance Testing (UAT) by resolving defects and clarifying expected system behaviourManage deployment activities across environments (DEV / SIT / UAT / PROD)Perform post-deployment validation to ensure stability and prevent regressions
5. Environment & Platform SupportSupport applications deployed on Oracle WebLogic or equivalent middlewareTroubleshoot environment-related issues across application servers and database layersEnsure compliance with environment configuration and release governance standards
6. Documentation & GovernanceMaintain clear documentation for:Technical designs and CR implementationsTest cases and outcomesSystem configurations and operational proceduresSupport audits and ensure alignment with public sector IT governance and security policies
7. Stakeholder CollaborationWork closely with Business Analysts, QA Engineers, DBAs, and Operations teamsParticipate in Agile or hybrid delivery environments to ensure timely and quality deliveryTranslate business requirements into practical, maintainable technical solutions
Key RequirementsCore Technical SkillsStrong hands-on experience in:Oracle Forms & Reports developmentOracle ADF (Application Development Framework)PL/SQL programming and Oracle Database designExperience with:Stored procedures, triggers, packages, and performance tuningLegacy system support and modernisation initiativesMiddleware platforms such as Oracle WebLogic
Engineering & DeliverySolid understanding of:SDLC and structured change management processesAgile or hybrid delivery modelsTesting methodologies (functional, regression, integration)Ability to perform impact analysis and structured troubleshooting
ExperienceMinimum 3+ years of hands-on experience in Oracle Forms, Reports, ADF, and PL/SQLProven experience in production support and CR delivery for enterprise systems
Good to HaveExperience working in government or regulated environmentsFamiliarity with secure coding practices and compliance frameworksExposure to modernisation initiatives (e.g. migration from Forms to web-based platforms)Relevant certifications (e.g. NUS-ISS ICT Certification or equivalent)
What Success Looks LikeHigh system uptime with minimal production incidentsTimely and high-quality delivery of CRs and enhancementsImproved system performance and reduced technical debtClear documentation enabling long-term maintainability and handover

🚀 We’re Hiring: Senior Data Engineer (Data Platform & Pipelines)
We’re looking for a Senior Data Engineer to design and build scalable data infrastructure that powers analytics and data-driven products. If you enjoy building robust pipelines, integrating complex data sources, and working with modern cloud technologies, this role is for you.
You’ll collaborate with product teams, analysts, and engineers to turn raw data into reliable, scalable datasets that support business decisions and digital products.
🔧 What You’ll Be Working On:Design and build scalable data pipelines for batch and real-time processingDevelop and maintain data warehouses, data marts, and data lakesExtract, clean, and transform data from multiple sources (including web scraping where required)Integrate and consolidate data silos into scalable, compliant data platformsDevelop backend APIs and database solutions supporting applications and data servicesBuild reliable ETL/ELT workflows and automated data pipelinesCollaborate closely with Project Managers, Data Architects, Business Analysts, Designers, and DevelopersContribute to CI/CD workflows and Agile development practicesParticipate in pair programming and code reviews to maintain high engineering standards
🧠 What We’re Looking For:At least 4 years of relevant experienceStrong experience in data transformation and cleaning using tools like SQL, Python (pandas), or RHands-on experience building ETL/ELT pipelines (e.g., SSIS, AWS DMS, Python, AWS Lambda, AWS Glue, ECS, EventBridge, Spring)Solid experience with databases such as PostgreSQL, MySQL, MongoDB, Cassandra, Athena, or similarExperience working with cloud platforms such as AWS, Azure, or Google CloudExperience building production-grade data pipelines in large-scale environmentsFamiliarity with data modeling and data architecture (Data Warehouse, Data Lake, Data Mart, Data Virtualization)Understanding of REST APIs and web protocolsExposure to big data technologies such as Spark, Kafka, Hadoop, or RabbitMQExperience with web scraping tools like BeautifulSoup, Selenium, or Node.jsKnowledge of data governance, security, and access control best practicesComfortable working in Linux and Windows development environments
🌟 Bonus Points:Experience building data platforms on cloud-native infrastructureStrong understanding of system design and scalable architecturesPassion for bridging engineering and analytics

This project is with Profileprint.ai, a startup supported by SGInnovate under the PowerX Programme.
PowerX is a 12-months traineeship programme designed to enable and create Deep Tech career opportunities for working professionals, combing bespoke training and industry experience.
Problem Statement
Traditional food ingredient quality assessment relies on time-consuming laboratory testing, subjective visual inspection, and manual sampling processes that can take days or weeks to complete. This creates significant inefficiencies in the global agrifood supply chain, leading to delayed transactions, increased waste from spoiled products, inconsistent quality standards, and higher operational costs. Agricultural commodity traders and food manufacturers need real-time, objective quality assessment tools to make faster procurement decisions and reduce supply chain risks.
Solution Overview
ProfilePrint.ai addresses these challenges through a patented Identity-as-a-Service (IDaaS) platform that combines advanced sensor technology with artificial intelligence to deliver molecular-level ingredient quality assessment in seconds. The company has developed a comprehensive SaaS solution that revolutionizes how the agrifood industry evaluates ingredient quality and authenticity.
Core Technology
The platform integrates proprietary wave detection hardware using near-infrared and Raman spectroscopy with machine learning algorithms to create unique digital fingerprints for ingredient samples. This molecular-level analysis enables rapid prediction of ingredient identity, quality, and defects with unprecedented accuracy and speed.
Core ResponsibilitiesDesign and implement comprehensive logging and metrics strategies to support operational excellence and continuous platform improvement.Instrument critical user workflows and system components to capture actionable insights into usage patterns, performance bottlenecks, and system health.Ensure consistent logging standards across distributed services and microservices.
Key Accountabilities with measurable outcomes:Improved system observability, Mean Time to Detect (MTTD) / Mean Time to Repair (MTTR)Increased platform stability through early identification of high risk workflows and recurring defects.
Contribution to the Team level activities such as:Advocate for best practices in logging, monitoring, and observability across the engineering team.Contribute to shared standards, documentation, and tooling for metrics and error tracking.Fixing application bugsDevelopment of minor product features
Project scope shall not be limited to the above. It may encompass other related tasks needed for the project/role assigned by the partner company.

About TencentTencent is an Internet-based platform company founded in Shenzhen, China, in 1998. We use technology to enrich the lives of Internet users and assist the digital upgrade of enterprises. Our mission is "Value for Users, Tech for Good". We embrace a culture of teamwork & creativity and are driven by our values - Integrity, Proactivity, Collaboration and Creativity.We are rapidly expanding our international operations and are looking for top talent to propel us forward. Combining the results-oriented nature of a start-up with the resources of a profitable and leading Internet company, Tencent offers a unique opportunity for aspiring individuals to thrive.
About IEG GlobalTencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China.Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world.
About The Hiring TeamLevel Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world.We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.
What The Role Entails
As a Senior AI Systems Engineer , you will:Design, implement, and maintain unified automation plugin wrappers for Unreal Engine and Unity 3D to ensure seamless integration with AI toolset.Build agentic automation using Python to orchestrate complex testing scenarios between the game client and the AI controller.Design and refine existing algorithms to improve system performance and accuracy, directly impacting the end-user experience and agent efficiency.Act as a champion for clean code, solid principles, and design patterns, ensuring that all frameworks are maintainable, scalable, and modular.
Who We Look For3+ years of professional experience in game development or game engine development (preferably Unreal Engine or Unity 3D).Strong engineering implementation skills with proficiency in at least one of the following: C++, C#, or Python.High analytical skills and ability to cope with rapidly changing environments and evolving technical requirements typical of AI research and agile game developmentA deep understanding of Game AI (Pathfinding, Behavior Trees, Reinforcement learning, LLM integration) and game testing methodologies is highly desirable.

About the Role
Agnos develops scalable and cost-effective enterprise solutions for law firms and professional service businesses.  Agnos is seeking a highly organized and analytical Accounts Manager to manage our finance operations. This role requires a professional capable of managing complex financial records.
Role Overview
Position Level: ManagerEmployment Type: Full-TimeSalary Range: $5,000 – $6,500 SGD per monthHaving relevant work experience in the Legal Industry will be a plusAbility to work nights or early morning shifts to align with US working hours, highly desirable
Key Responsibilities
Financial Management: Oversee financial record management, account reconciliation, and the preparation of comprehensive financial statements.Operations: Manage accounts payable, accounts receivable, budgeting, and payroll processing.Compliance: Liaise with external auditors for the preparation of tax returns and financial statements.Problem Solving: Apply excellent analytical and organizational skills to solve financial discrepancies and improve processes.
Requirements & Qualifications
Experience: Minimum of 5 years of company accounting experience.Education: Bachelor’s degree in Accounting, Finance, or a related discipline.Technical Skills: Proficiency in accounting software, specifically QuickBooks.Advanced skills in Microsoft Excel and spreadsheets.Certifications: Possession of relevant professional accounting certifications.Previous work experience within the Legal industry is considered a significant plus.Candidates must be currently authorized to work in Singapore without requiring visa sponsorship.
Core Competencies
Strong Attention to DetailAccount Reconciliation & ManagementTax & Audit coordinationBudgeting & Payroll

About the RoleA1 is building a proactive AI system that understands context across conversations, plans actions, and carries work forward over time.You will be responsible for turning research direction into working, production-grade ML systems. This role owns the execution layer of A1’s intelligence – training pipelines, inference systems, evaluation tooling, and deployment.
What You'll DoBuild and own end-to-end ML pipelines spanning data, training, evaluation, inference, and deployment.Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.Architect and operate scalable inference systems, balancing latency, cost, and reliability.Design and maintain data systems for high-quality synthetic and real-world training data.Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products.Make pragmatic trade-offs and ship improvements quickly, learning from real usage.Work under real production constraints: latency, cost, reliability, and safety
Tech StackPythonPyTorch / JAXGPU-based training and inference system
Ideal ExperienceYou have built or shipped real ML systems used by people, not just demos.You are comfortable working with large models and understanding their failure modes.You write strong, production-grade code and care about system correctness.You are self-directed, pragmatic, and take full ownership of outcomes.You communicate clearly and collaborate well in small, high-trust teams.
How We WorkOur organization is very flat and our team is small, highly motivated, and focused on engineering and product excellence. All members are expected to be hands-on and to contribute directly to the company’s mission.
Interview processIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

About the RoleA1 is building a proactive AI system that understands context across conversations, plans actions, and carries work forward over time.You will be responsible for turning research direction into working, production-grade ML systems. This role owns the execution layer of A1’s intelligence – training pipelines, inference systems, evaluation tooling, and deployment.
FocusBuild and own end-to-end ML pipelines spanning data, training, evaluation, inference, and deployment.Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.Architect and operate scalable inference systems, balancing latency, cost, and reliability.Design and maintain data systems for high-quality synthetic and real-world training data.Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products.Make pragmatic trade-offs and ship improvements quickly, learning from real usage.Work under real production constraints: latency, cost, reliability, and safety
RequirementsStrong background in deep learning and transformer-based architectures.Hands-on experience training, fine-tuning, or deploying large-scale ML models in production.Proficiency with at least one modern ML framework (e.g. PyTorch, JAX), and ability to learn others quickly.Experience with distributed training and inference frameworks (e.g. DeepSpeed, FSDP, Megatron, ZeRO, Ray).Strong software engineering fundamentals – you write robust, maintainable, production-grade systems.Experience with GPU optimization, including memory efficiency, quantization, and mixed precision.Comfort owning ambiguous, zero-to-one ML systems end-to-end.A bias toward shipping, learning fast, and improving systems through iteration.
Ideal ExperienceExperience with LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer.Contributions to open-source ML or systems libraries.Background in scientific computing, compilers, or GPU kernels.Experience with RLHF pipelines (PPO, DPO, ORPO).Experience training or deploying multimodal or diffusion models.Experience with large-scale data processing (Apache Arrow, Spark, Ray).
How We WorkOur organization is very flat and our team is small, highly motivated, and focused on engineering and product excellence. All members are expected to be hands-on and to contribute directly to the company’s mission.
Interview processIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

About the RoleA1 is building a proactive AI system that carries work forward across conversations, tools, and time.You will build the systems that power every AI interaction users experience. Your work will sit at the intersection of models, orchestration, APIs, and product behavior - where correctness, latency, and reliability actually matter.
FocusBuild and operate backend systems that serve AI-powered features in production.Design inference pipelines, orchestration layers, and service boundaries around models.Own production concerns: monitoring, logging, alerting, and incident response.Optimize latency and throughput across inference, caching, batching, and streaming.
Ideal ExperiencesStrong backend engineering fundamentals in production environments.Experience running high-throughput, low-latency services.Familiarity with AI inference patterns (LLMs, embeddings, multimodal).Comfortable debugging distributed systems under load.Bias toward shipping and learning from production behavior.
Tech StackPythonNodeJsPytorchOpenAI / Anthropic / open-source LLMsSQl & noSQLKubernetesDocker
How We WorkOur organization is very flat and our team is small, highly motivated, and focused on engineering and product excellence. All members are expected to be hands-on and to contribute directly to the company’s mission.
Interview processIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

Business Analyst - (Portfolio Management & Analytics)We are seeking an experienced Business Analyst specialising in Portfolio Management & Analytics. In this role, you will be responsible for managing client projects in the financial & banking sectors.
Key ResponsibilitiesCollaborate with portfolio managers to gather and translate business requirements into technical specifications and vice versa?Design, test, and implement processes, tools, and systems in partnership with in-house IT, risk, and finance teams, as well as external software vendors and service providers, to support front-office investment workflows.Develop and write test plans for system, process, and product upgrades; participate in User Acceptance Testing (UAT).Develop and maintain user guides and documentation for processes, tools, and systems implemented for front-office investment workflows.Plan and coordinate with multiple departments on implementing roadmaps for desired front-office workflows, including feature development and system upgrades.Ensure front-office processes and procedures meet internal standards for data integrity, security, and auditability.Monitor, analyse, and troubleshoot front-office processes to ensure smooth functioning; liaise with IT and external service providers for issue resolution.Manage project implementations with vendors and service providers, including procurement and related administrative tasks.Oversee change management to facilitate new product and/or system adoption, including workflow and process re-engineering as needed.
Mandatory Skills & Experience/RequirementsOnly SingaporeansBachelor’s degree in a business-related or IT-related field.Minimum 6 years of relevant working experience, including business analysis or product management of systems used in similar functions within the asset management domain.Demonstrated experience in requirements gathering, process design, and system implementation.Strong analytical, critical thinking, and problem-solving skills.Good understanding of user-centric principles and/or service design.Effective communicator (written and verbal) with the ability to convey complex information to stakeholders at all levels.Experience working with cross-functional groups and influencing teams towards shared goals.Ability to manage multiple projects concurrently with varying technical requirements and stakeholder engagement.Adaptability to changing business requirements and system constraints.Experience in developing test plans, managing testing (SIT/UAT), and supporting project implementation or enhancements.Experience in developing and maintaining user guides and system documentation.Experience in managing project scheduling and timelines for prompt completion of work tasks.
Technical Stack / Domain KnowledgeInvestment Systems: Familiarity with platforms such as Murex, SimCorp Dimension, BlackRock Aladdin, Charles River, or similar.Markets Workflow: Understanding of public markets transaction workflows – front to back office – especially in fixed income and foreign exchange markets.Project & Process Tools: Experience with SDLC, Agile/Waterfall methodologies, and change management processes.Testing & Documentation: Proficiency in test planning, UAT, and technical/user documentation.

We are seeking an experienced Senior Backend Developer to join a core engineering team responsible for building and maintaining large-scale, enterprise-grade platforms. The role focuses on designing reliable backend services that support complex, data-intensive systems used by enterprise and public-sector clients.You will work closely with frontend engineers, architects, and product stakeholders to deliver secure, scalable, and high-performance backend solutions in a modern, agile environment.
Key ResponsibilitiesDesign, develop, and maintain backend services for enterprise-level web platformsTake ownership of backend design decisions and contribute to overall system architectureCollaborate with frontend engineers and cross-functional teams to ensure seamless system integrationWrite clean, maintainable, and reusable code aligned with best practices for performance, scalability, and securityBuild and maintain RESTful APIs and integrate with external services and data sourcesImplement unit tests and automated tests to ensure reliability and code qualityParticipate in code reviews, technical discussions, and architecture reviewsTroubleshoot production issues, optimize performance, and resolve system bottlenecksWork within Agile / Kanban development processes and contribute to continuous improvement
Requirements8+ years of backend development experience, with strong expertise in C# and .NET Core (latest versions preferred)Solid experience building enterprise web applications using ASP.NETStrong background in designing and developing RESTful APIs and backend servicesExcellent understanding of object-oriented programming principles and common design patternsHands-on experience with relational databases and SQLFamiliarity with cloud environments (AWS, Azure, or GCP) and container technologies such as Docker and/or KubernetesExperience with automated testing frameworks (e.g. xUnit, NUnit) is a plusUnderstanding of CI/CD pipelines and modern agile software development practicesNice to HaveExperience with microservices architectures and asynchronous / message-driven systemsExposure to NoSQL or document-based databasesFamiliarity with gRPC and/or message brokers such as RabbitMQ or Kafka

Business Unit
Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation.
What The Role Entails
Oversee the operation and maintenance of Tencent's overseas big data platforms to ensure platform and cluster stability.Assist users in resolving issues related to big data platform usage, including but not limited to platform operations, component errors, and performance optimisation.Optimise existing service workflows, standards, and pain points, and propose actionable solutions.Develop front-end/back-end operational efficiency tools, including but not limited to: capacity management platforms, DevOps frameworks, coverage analytics, automation systems, and health monitoring.Optimise big data cluster costs by implementing new technologies or architectures to improve processing efficiency and reduce operational expenses.
Who We Look For
Proficient in ≥2 of these big data technologies: HDFS, YARN, Flink, Spark, Presto, Hive, HBase, StarRocks.Skilled in ≥1 programming language (Java/Python/Golang, etc.).Expertise in Linux/Unix OS, system performance tuning, and failure resolution.≥3 years of big data operation/development experience, with strong troubleshooting skills, technical sensitivity, and risk identification capabilities.Knowledge of mainstream big data platforms (e.g., Databricks, Snowflake) will be considered a strong plus.
Equal Employment Opportunity at Tencent
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Singapore enterprise SaaS sellers — especially those in CX / contact center tech — this one might interest you.
I’m partnering with a fast-growing AI SaaS company expanding its enterprise footprint across Singapore and Southeast Asia.They’re hiring a Sales Director focused on enterprise BFSI clients (Strong preference for candidates already selling into large banks, insurers or fintech platforms in Singapore).
💰 OTE up to ~$500K (60/40)🌏 Coverage: Singapore + Malaysia + broader SEA
They’re looking for someone who:🎯 Has 5+ years selling enterprise SaaS platforms🏦 Has strong relationships within banking / insurance across SG / MY🤝 Is comfortable navigating large enterprise deal cycles📞 Has experience selling customer engagement / CX / contact center platforms or adjacent enterprise solutions
Nice to have:🤝 Regional fintech relationships across SEA 🌏🤖Exposure to AI-driven enterprise solutions🚀 Comfortable operating in a high growth, founder led environment
Mandarin is helpful for collaboration with regional stakeholders
Lin WeeLicense No. 22C1076 | EA Reg: R1878551

Hours: US Hours (Pacific Time) Position: ContractorSalary Offered: $800 - $1,000 
Agnos develops scalable and cost-effective enterprise solutions for law firms and professional service businesses.
We are hiring an Administrative Assistant to support our legal and operations team with immigration matters. We seek a highly motivated professional to join our fast-paced legal operations and help keep the firm running smoothly behind the scenes.
Responsibilities:
Supporting day-to-day legal and administrative operations, assisting with document preparation and legal template management, coordinating attorney schedules and internal meetings, maintaining organized records and firm databases, supporting client outreach and communications, assisting with HR coordination and onboarding logistics, supporting firm compliance and vendor administration, and providing general operations support to the operations and legal team. 
Requirements:
Exceptional attention to detail, excellent written and verbal communication skills, ability to work independently and manage competing priorities, strong personal organizational systems, and solid computer literacy including experience with Microsoft Office, Google Workspace, and similar platforms. Availability to work US Pacific Time hours is required.Candidates with previous experience in a law firm or similar professional services environment are encouraged to apply. This role is best suited for someone motivated by a fast-paced environment and comfortable working cross-functionally with legal, operations, HR, and compliance teams.
Note: Candidates selected for an interview will be asked to complete a computer skills and typing test.

About the RoleA1 is building a proactive AI system that carries work forward across conversations, tools, and time.As VP of Engineering - Applications, you will turn intelligence into a real product. You are responsible for the engineering systems, teams, and execution that turn ML capability into reliable, fast, and intuitive user experiences across backend, mobile, and desktop platforms.This role is a senior engineering leader who stays close to the product, makes hard technical decisions, and holds a high bar for quality and delivery.
What You'll be DoingOwn the application engineering strategy and execution across backend, mobile, and desktop.Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers.Set the architectural direction for AI-powered product workflows, APIs, and client integrations.Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes.Partner closely with Machine Learning leadership to translate model capability into shippable product features.Make high-impact decisions across latency, cost, reliability, security, and user experience.Establish a strong execution culture through code reviews, design reviews, and hands-on technical leadership.Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls.Balance speed and discipline – shipping quickly without compromising long-term system quality.
What You Will NeedSignificant experience leading application or product engineering for complex systems.Strong hands-on background building and shipping backend systems used in production.Experience delivering AI-powered products, with a deep understanding of model integration trade-offs.Excellent system design skills across services, APIs, clients, and data flows.Comfort operating across platforms (backend, mobile, desktop), even if your depth is in one.Proven ability to make high-impact technical decisions under ambiguity.A strong bias toward shipping, iteration, and learning from real-world usage.Low ego, strong judgment, and the ability to raise the technical bar for the entire applications organization.
How We WorkOur organization is very flat and our team is small, highly motivated, and focused on engineering and product excellence. All members are expected to be hands-on and to contribute directly to the company’s mission.Interview processIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.